upstream/mercurial-mirror Files · contrib/benchmarks/perf.py

narrow: add option for automatically removing unused includes...

narrow: add option for automatically removing unused includes It's been a somewhat common request among our users to have Mercurial automatically pick includes to remove. This patch adds an option for that: `hg tracked --auto-remove-includes`. I'm not sure if this is the right name and semantics for it. Perhaps the feature should also add excludes of large subdirectories even if other files in the include are needed? Narrow clones are experimental, so we can change the name and/or semantics later if necessary. Differential Revision: https://phab.mercurial-scm.org/D6848

Philippe Pepiot - - Load All Authors

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      # perf.py - asv benchmarks using contrib/perf.py extension

      #

      # Copyright 2016 Logilab SA <contact@logilab.fr>

      #

      # This software may be used and distributed according to the terms of the

      # GNU General Public License version 2 or any later version.

      from __future__ import absolute_import

      from . import perfbench

      @perfbench()

      def track_tags(perf):

          return perf("perftags")

      @perfbench()

      def track_status(perf):

          return perf("perfstatus", unknown=False)

      @perfbench(params=[('rev', ['1000', '10000', 'tip'])])

      def track_manifest(perf, rev):

          return perf("perfmanifest", rev)

      @perfbench()

      def track_heads(perf):

          return perf("perfheads")

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				# perf.py - asv benchmarks using contrib/perf.py extension
				#
				# Copyright 2016 Logilab SA <contact@logilab.fr>
				#
				# This software may be used and distributed according to the terms of the
				# GNU General Public License version 2 or any later version.

				from __future__ import absolute_import

				from . import perfbench

				@perfbench()
				def track_tags(perf):
				return perf("perftags")

				@perfbench()
				def track_status(perf):
				return perf("perfstatus", unknown=False)

				@perfbench(params=[('rev', ['1000', '10000', 'tip'])])
				def track_manifest(perf, rev):
				return perf("perfmanifest", rev)

				@perfbench()
				def track_heads(perf):
				return perf("perfheads")